Sensors, Vol. 20, Pages 3754: A Virtual Reality Muscle –Computer Interface for Neurorehabilitation in Chronic Stroke: A Pilot Study
Sensors, Vol. 20, Pages 3754: A Virtual Reality Muscle–Computer Interface for Neurorehabilitation in Chronic Stroke: A Pilot Study Sensors doi: 10.3390/s20133754 Authors: Octavio Marin-Pardo Christopher M. Laine Miranda Rennie Kaori L. Ito James Finley Sook-Lei Liew Severe impairment of limb movement after stroke can be challenging to address in the chronic stage of stroke (e.g., greater than 6 months post stroke). Recent evidence suggests that physical therapy can still promote meaningful recovery after this stage, but the required high amount of therapy is difficult to deliver within the scope of standard clinical practice. Digital gaming technologies are now being combined with brain–computer interfaces to motivate engaging and frequent exercise and promote neural recovery. However, the complexity and expense of acquiring brain signals has held back widespread utilization of these rehabilitation systems. Furthermore, for people that have residual muscle activity, electromyography (EMG) might be a simpler and equally effective alternative. In this pilot study, we evaluate the feasibility and efficacy of an EMG-based variant of our REINVENT virtual reality (VR) neurofeedback rehabilitation system to increase volitional muscle activity while reducing unintended co-contractions. We recruited four participants in the chronic stage of stroke recovery, all with severely restricted active wrist movement. They completed seven 1-hour training sessio...
Infection with the novel severe acute respiratory syndrome coronavirus 2 causes the development of the novel 2019 coronavirus disease (COVID-19) and associated clinical symptoms, which typically presents as an upper respiratory syndrome such as pneumonia. Growing evidence indicates an increased prevalence of neurological involvement (e.g., in the form of stroke) during virus infection. COVID-19 has been suggested to be more than a lung infection because it affects the vasculature of the lungs and other organs and increases the risk of thrombosis.
Conditions: Healthy; Stroke Interventions: Other: Error-augmented treadmill training; Other: active control group; Other: Error-augmented concept combined physical therapy group; Other: conventional physical therapy group; Other: NO INTERVENTION Sponsor: National Taiwan University Hospital Not yet recruiting
CONCLUSION: Self-reported poor sleep adversely effects post-stroke functional recovery. PMID: 32602376 [PubMed - as supplied by publisher]
Conclusions: Some of the identified barriers could be overcome with modeling and training in best practice, while others may require interventions targeting organizational environment and leadership. Future knowledge translation interventions should target the identified barriers and facilitators to implementing aerobic exercise. Video Abstract available for more insights from the authors (see the Video, Supplemental Digital Content 1, http://links.lww.com/JNPT/A312).
Conclusions: Despite a targeted training approach and noted improvements in most measures, these changes did not appear to arise from improved spatiotemporal gait asymmetry. Furthermore, improvements in gait function observed in the laboratory setting did not appear to translate to increased community mobility. Video Abstract available for more insights from the authors (see the Video, Supplemental Digital Content 1, available at: http://links.lww.com/JNPT/A316).
Conclusions: Results demonstrate this combined interventional approach was feasible and improved stance symmetry overground, yet further work should consider increasing training intensity and/or duration to induce gains lasting through follow-up.
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Authors: Park C, Oh-Park M, Dohle C, Bialek A, Friel K, Edwards D, Krebs HI, You JSH Abstract BACKGROUND: While Walkbot-assisted locomotor training (WLT) provided ample evidence on balance and gait improvements, the therapeutic effects on cardiopulmonary and psychological elements as well as fall confidence are unknown in stroke survivors. OBJECTIVE: The present study aimed to compare the effects of Walkbot locomotor training (WLT) with conventional locomotor training (CLT) on balance and gait, cardiopulmonary and psychological functions and fall confidence in acute hemiparetic stroke. METHODS: Fourteen pat...
Stroke survivors show greater postural oscillations and altered muscular activation compared to healthy controls. This results in difficulties in walking and standing, and in an increased risk of falls. A proper control of the trunk is related to a stable walk and to a lower falling risk; to this extent, rehabilitative protocols are currently working on core stability. The main objective of this work was to evaluate the effectiveness of trunk and balance training performed with a new robotic device designed for evaluation and training of balance and core stability, in improving the recovery of chronic stroke patients compa...